3 papers
cs.CV2026
VOICE: A Vision-Omics Foundation Model Integrating Direct and Retrieval-Based Prediction of In-situ Single-Cell Gene Expression
Xin Luo, Yicheng Tao, Haoxuan Zeng +6
Spatial transcriptomics can resolve gene expression at single-cell resolution, but it is costly, limited to targeted panels of a few hundred to a few thousand genes, and applicable…
cs.LG2025
Quantized-Tinyllava: a new multimodal foundation model enables efficient split learning
Jiajun Guo, Xin Luo, Jiayin Zheng +4
Multimodal foundation models are increasingly trained on sensitive data across domains such as finance, biomedicine, and personal identifiers. However, this distributed setup raise…
cs.CL2025
AutoPCR: Automated Phenotype Concept Recognition by Prompting
Yicheng Tao, Yuanhao Huang, Yiqun Wang +2
Motivation: Phenotype concept recognition (CR) is a fundamental task in biomedical text mining. However, existing methods either require ontology-specific training, making them str…